




'''simple docstring'''

from __future__ import annotations

a       :						Optional[Any]								=		'''Muhammad Umer Farooq'''
a       :						int								=		'''MIT'''
a       :						Dict								=		'''1.0.0'''
a       :						Optional[int]								=		'''Muhammad Umer Farooq'''
a       :						Optional[Any]								=		'''contact@muhammadumerfarooq.me'''
a       :						Union[str, Any]								=		'''Alpha'''

import re
from html.parser import HTMLParser
from urllib import parse

import requests



class 		SCREAMING_SNAKE_CASE__  (			_UpperCamelCase	):





			def __init__(      self						:    Optional[Any]      ,		a_						:    str							):



						"""simple docstring"""




						super().__init__()
						__snake_case			=		[]
						__snake_case			=		domain






			def 							A (      self						:    str      ,		a_						:    str      ,		a_						:    list[tuple[str, str | None]]							):



						"""simple docstring"""




						if tag == "a":
									# Check the list of defined attributes.
									for name, value in attrs:
												# If href is defined, and not empty nor # print it.
												if name == "href" and value != "#" and value != "":
															# If not already in urls.
															if value not in self.urls:
																		__snake_case			=		parse.urljoin(self.domain      ,		a_							)
																		self.urls.append(a_							)







def __UpperCAmelCase	(   _UpperCAmelCase		:   str						)      ->      str:
			return ".".join(get_sub_domain_name(_UpperCAmelCase						).split("."						)[-2:]						)


def __UpperCAmelCase	(   _UpperCAmelCase		:   str						)      ->      str:
			return parse.urlparse(_UpperCAmelCase						).netloc


def __UpperCAmelCase	(   _UpperCAmelCase		:   str = "https://github.com"						)      ->      list[str]:
			__snake_case			=		get_domain_name(_UpperCAmelCase						)

			# Initialize the parser
			__snake_case			=		Parser(_UpperCAmelCase						)

			try:
						# Open URL
						__snake_case			=		requests.get(_UpperCAmelCase						)

						# pass the raw HTML to the parser to get links
						parser.feed(r.text						)

						# Get links and loop through
						__snake_case			=		set()
						for link in parser.urls:
									# open URL.
									# read = requests.get(link)
									try:
												__snake_case			=		requests.get(_UpperCAmelCase						)
												# Get the valid email.
												__snake_case			=		re.findall("[a-zA-Z0-9]+@" + domain		,				read.text						)
												# If not in list then append it.
												for email in emails:
															valid_emails.add(_UpperCAmelCase						)
									except ValueError:
												pass
			except ValueError:
						raise SystemExit(1						)

			# Finally return a sorted list of email addresses with no duplicates.
			return sorted(_UpperCAmelCase						)


if __name__ == "__main__":
						a       :						Any								=		emails_from_url('''https://github.com''')
						print(F'''{len(emails)} emails found:''')
						print('''\n'''.join(sorted(emails)))











'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase_					=   {"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "SwinForImageClassification",
      "SwinForMaskedImageModeling",
      "SwinModel",
      "SwinPreTrainedModel",
      "SwinBackbone",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFSwinForImageClassification",
      "TFSwinForMaskedImageModeling",
      "TFSwinModel",
      "TFSwinPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_swin import (
        SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwinBackbone,
        SwinForImageClassification,
        SwinForMaskedImageModeling,
        SwinModel,
        SwinPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_swin import (
        TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFSwinForImageClassification,
        TFSwinForMaskedImageModeling,
        TFSwinModel,
        TFSwinPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



